HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Figures Only Full Text Free Full Text (PDF) Free Alert me when this article is cited Alert me if a correction is posted Services Similar articles in this journal Similar articles in ISI Web of Science Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via Google Scholar Google Scholar Articles by Rajasekar, S. Articles by Christians, N. E. Search for Related Content PubMed Articles by Rajasekar, S. Articles by Christians, N. E. Agricola Articles by Rajasekar, S. Articles by Christians, N. E. Related Collections Turfgrass Cell Biology & Molecular Genetics Plant Genetic Resources

PLANT GENETIC RESOURCES

Analysis of Genetic Diversity in Rough Bluegrass Determined by RAPD Markers

Department of Horticulture, 257 Horticulture Hall, Iowa State University, Ames, IA 50011, USA

^* Corresponding author (sfei{at}iastate.edu)

Information on genetic variation in rough bluegrass (Poa trivialis L.), a cool-season grass that is grown for sports fields and lawns, is needed. The objective of this study was to assess genetic variation in 27 accessions of rough bluegrass obtained from the National Plant Germplasm System (NPGS) by random amplified polymorphic DNA (RAPD) markers. Fifteen of the 80 primers screened generated 64 highly repeatable polymorphic bands. A dendrogram constructed on the basis of the Unweighted Pair Group Method with Arithmetic Average (UPGMA) clustering algorithm revealed that 26 of 27 accessions formed two distinct clusters. Genetic similarity coefficients calculated from the RAPD data ranged from 0.07 to 0.74 with the lowest value of 0.07 measured between PI 254908, PI 594396, PI 250982, and PI 229782 from Iraq, the USA, Yugoslavia, and Iran, respectively. The highest value of 0.74 was measured between PI 225826, PI 289643, and PI 592521 from Denmark, Spain, and the USA, respectively. The cophenetic correlation coefficient (r) was 0.90, indicative of a very good fit between the data matrix and the resulting cluster analysis. Principal coordinate analysis (PCO) clearly grouped 26 accessions on the two axes, with a single accession that did not cluster with the others. The PCO clustering pattern corresponded well with the dendrogram. PI 254908 from Iraq did not cluster with any other accessions, either in the dendrogram or on the basis of the PCO.